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本文提出了一种具有小世界特性的无线传感器网络簇级拓扑算法,引入Temple University吴杰教授提出的UCR(unequal cluster-based routing)机制,靠近基站簇尺寸变小,解决基站附近网络耗能过多的热点问题.通过OPNET对构造的簇级拓扑结构进行仿真,当超级节点数目增加到6～18时,平均路径长度降低,路径长度变化率降低,节能曲线变化率升高,能耗降低效果显著.仿真实验还表明,本文提出的具有小世界特性的无线传感器网络簇级拓扑结构对随机攻击具有很强的鲁棒性,具有很好的生存性能.复杂网络理论中的小世界网络具有较大的聚集系数和较小的平均路径长度,通过在原有网络中添加超级节点,形成能与sink节点直接通信的捷径,可以降低网络平均路径长度和能量消耗.目前小世界特性用于WSN的研究中,尚未考虑到sink节点附近的热点问题.
In this paper, we propose a clustering topology algorithm for WSN with small-world characteristics. By introducing UCR (unequal cluster-based routing) mechanism proposed by Temple University, closer to the base station, the cluster size becomes smaller and the network consumes too much energy The simulation results show that when the number of super nodes is increased from 6 to 18, the average path length decreases, the path length change rate decreases, the energy saving curve change rate increases, and the energy consumption reduction effect is remarkable The simulation results also show that the clustering topology of wireless sensor networks with small world features proposed in this paper is robust to stochastic attacks and has good survivability.Microsoft world networks in complex network theory have larger The aggregation coefficient and the smaller average path length can reduce the average path length and energy consumption of the network by adding super nodes in the original network to form a shortcut that can directly communicate with the sink node.The present small world features are used in the research of WSN , Has not considered the hot issue near the sink node.